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Risky Business: Data-At-Risk in a Dynamic and Evolving Multidisciplinary Research Environment Cover

Risky Business: Data-At-Risk in a Dynamic and Evolving Multidisciplinary Research Environment

Data Science Journal
Volume 23 (2024): Issue 1
By: Louise H. Patterton,  Theo J. D. Bothma and  Martie J. van Deventer  
Open Access
|Mar 2024

Authors

Louise H. Patterton

LPatterton@csir.co.za

Department of Information Science, University of Pretoria, Pretoria; Council for Scientific and Industrial Research

Theo J. D. Bothma

theo.bothma@up.ac.za

Department of Information Science, University of Pretoria, Pretoria

Martie J. van Deventer

vandeventer.martha@up.ac.za

Department of Information Science, University of Pretoria, Pretoria
DOI: https://doi.org/10.5334/dsj-2024-011 | Journal eISSN: 1683-1470
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Language: English
Submitted on: Feb 11, 2023
|
Accepted on: Feb 23, 2024
|
Published on: Mar 25, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
data at risk,
data rescue,
historic data,
legacy data,
Research data management

© 2024 Louise H. Patterton, Theo J. D. Bothma, Martie J. van Deventer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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